I am mainly interested in bioinformatics, in all kinds of machine learning, and how to apply tractable and understandable methods to extract higher-order, causal, information from biological data.
My research journey led me to consider several aspects of drug development and repurposing, and got me acclimated to working in an interdisciplinary environment. Here are three of my proudest works:
Interpretable Recommendations
Enforcing an explicit connection between features and classification scores allows us to enhance our understanding of underlying mechanisms, for instance in drug repurposing
Prioritization of Master Regulators
I have designed an approach which incorporates regulatory cascades and disease-specific transcriptomic information to detect master regulators, which can be targeted to treat a disease
Bandits for Drug Repurposing
Drug repurposing can be seen as a Top-m identification problem in bandits. One challenge is to exploit side information about the drugs to decrease the number of tests